The article discusses the evolution of GPT models, specifically GPT-1, GPT-2, and GPT-3, in the context of large language models like ChatGPT. It explains the underlying Transformer architecture, which comprises an Encoder for understanding input and a Decoder for generating output. The author also plans to demonstrate how to code these models using PyTorch to enhance understanding of their structures.
